
SToRM [1]}: The manifold Laplacian is estimated from the self-gating navigators acquired in k-space. Once the Laplacian matrix is obtained from navigators, the high-resolution images are recovered using kernel low-rank-based framework.

Low-Rank [2]}, [3]}: The image time series is recovered by nuclear norm minimization. The nuclear norm minimization approach models the images as points living on a subspace.

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